Cut and paste based text summarization

  • Authors:
  • Hongyan Jing;Kathleen R. McKeown

  • Affiliations:
  • Columbia University, New York, NY;Columbia University, New York, NY

  • Venue:
  • NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a cut and paste based text summarizer, which uses operations derived from an analysis of human written abstracts. The summarizer edits extracted sentences, using reduction to remove inessential phrases and combination to merge resulting phrases together as coherent sentences. Our work includes a statistically based sentence decomposition program that identifies where the phrases of a summary originate in the original document, producing an aligned corpus of summaries and articles which we used to develop the summarizer.